Home / Publications / E-library page
Only AES members and Institutional Journal Subscribers can download
Microphones are known to exhibit sonic differences and microphone selection is integral in achieving desired tonal qualities of recordings. In this paper an initial multi-stimuli listening test is used to categorize microphones based on user preference when recording snare drums. A spectral modification technique is then applied to recordings made with a microphone from the least preferred category, such that they take on the frequency characteristics of recordings from the most preferred category. To assess the success of the audio transformation, a second experiment is undertaken with expert listeners to gauge pre- and post-transformation preferences. Results indicate spectral transformation dramatically improves listener preference for recordings from the least preferred category, placing them on par with those of the most preferred.
Author (s): Cheshire, Matthew; Stables, Ryan; Hockman, Jason
Affiliation:
Birmingham City University, Birmingham, UK
(See document for exact affiliation information.)
AES Convention: 147
Paper Number:10263
Publication Date:
2019-10-06
Import into BibTeX
Session subject:
Recording, Production, and Live Sound
Permalink: https://aes2.org/publications/elibrary-page/?id=20636
(490KB)
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member Join the AES. If you need to check your member status, login to the Member Portal.
Cheshire, Matthew; Stables, Ryan; Hockman, Jason; 2019; Microphone Comparison: Spectral Feature Mapping for Snare Drum Recording [PDF]; Birmingham City University, Birmingham, UK; Paper 10263; Available from: https://aes2.org/publications/elibrary-page/?id=20636
Cheshire, Matthew; Stables, Ryan; Hockman, Jason; Microphone Comparison: Spectral Feature Mapping for Snare Drum Recording [PDF]; Birmingham City University, Birmingham, UK; Paper 10263; 2019 Available: https://aes2.org/publications/elibrary-page/?id=20636